
11 - 50 employees
🧬 Biotechnology
₿ Crypto
🤖 Artificial Intelligence
Biotechnology • Crypto • Artificial Intelligence
Bio Protocol is a decentralized science (DeSci) financial layer and platform that tokenizes and funds early-stage biotechnology research. It enables community-governed DAOs and tokenized IP to raise capital via BIO token launches and Ignition Sales, offers staking and loyalty mechanics (BioXP), and provides infrastructure such as a Launchpad and Liquidity Engine. The protocol also supports AI-driven scientific tools (BioAgents and the BIOS AI scientist) to accelerate research, coordination, and commercialization of scientific innovations.
Likely ghost job
đź•’ February 25
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
👷🏻‍♀️ Engineer
đź‘» Ghost score 68%
Where this job comes from
Posted on Bio Protocol's careers page, not through a job board
First seen by Remote Rocketship February 25
Still open on Bio Protocol's site. Checked 4 hours ago.

11 - 50 employees
🧬 Biotechnology
₿ Crypto
🤖 Artificial Intelligence
Biotechnology • Crypto • Artificial Intelligence
Bio Protocol is a decentralized science (DeSci) financial layer and platform that tokenizes and funds early-stage biotechnology research. It enables community-governed DAOs and tokenized IP to raise capital via BIO token launches and Ignition Sales, offers staking and loyalty mechanics (BioXP), and provides infrastructure such as a Launchpad and Liquidity Engine. The protocol also supports AI-driven scientific tools (BioAgents and the BIOS AI scientist) to accelerate research, coordination, and commercialization of scientific innovations.
• Architect and build high-performance AI agent infrastructure from the ground up • Design and implement on-chain coordination systems (funding mechanisms, governance, research incentives, token flows) • Build fault-tolerant backend services for agent orchestration, data pipelines, and integration with external systems (cloud labs, bio-databases, CROs) • Optimise system performance, throughput, and reliability under real-world research workloads • Lead technical decisions around system design, data models, and scaling strategy • Collaborate closely with product and science teams to translate research requirements into production systems • Establish best practices for code quality, testing, observability, and incident response • Mentor other engineers as the team grows
• Proven experience building AI agent systems, research platforms, or complex technical infrastructure *from scratch* • Strong background in distributed systems and high-throughput architectures • Expertise in one or more backend languages (Python, Go, Rust, TypeScript) • Deep understanding of LLM architectures, agent orchestration patterns, and ML systems in production • Experience designing systems that integrate with messy, real-world data sources • Solid grasp of smart contract development and on-chain coordination mechanisms • Comfortable operating in an early-stage, fast-moving environment • Strong communication skills and ability to work cross-functionally
• Competitive salary + meaningful equity/token component • Remote-first culture with a world-class, mission-driven team • Opportunity to build category-defining infrastructure for open science from day one
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